Source: https://seerepo.com/uses/nbformat
Markdown source: https://seerepo.com/uses/nbformat.md
Description: 10 public repos that SeeRepo read use nbformat. It's used most with ipywidgets, matplotlib, and Plotly.

# Open source repos that use nbformat

10 public repos that SeeRepo read use nbformat. It's used most with ipywidgets, matplotlib, and Plotly.

## Used most with

- ipywidgets: 2 repos
- matplotlib: 2 repos
- Plotly: 2 repos
- gcsfs: 1 repo
- pickleshare: 1 repo
- psycopg2-binary: 1 repo
- pyiceberg: 1 repo
- pymysql: 1 repo

## The repos, by stars

1. [apache/superset](https://seerepo.com/r/apache/superset): Python · 75,495 stars · 9.2% signed by AI — Apache Superset is a Data Visualization and Data Exploration Platform
2. [run-llama/llama_index](https://seerepo.com/r/run-llama/llama_index): Python · 52,885 stars · 0.2% signed by AI — LlamaIndex is the document processing platform for AI
3. [pandas-dev/pandas](https://seerepo.com/r/pandas-dev/pandas): Python · 50,506 stars · 4.4% signed by AI — Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
4. [vnpy/vnpy](https://seerepo.com/r/vnpy/vnpy): Python · 46,369 stars · 0.1% signed by AI — 基于Python的开源量化交易平台开发框架
5. [ray-project/ray](https://seerepo.com/r/ray-project/ray): Python · 44,282 stars · 3.7% signed by AI — Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
6. [harvard-edge/cs249r_book](https://seerepo.com/r/harvard-edge/cs249r_book): Python · 30,011 stars · 2.7% signed by AI — Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
7. [microsoft/RD-Agent](https://seerepo.com/r/microsoft/RD-Agent): Python · 15,282 stars · 0.7% signed by AI — Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
8. [semantica-agi/semantica](https://seerepo.com/r/semantica-agi/semantica): Python · 14,477 stars · 10.1% signed by AI — Graph-Native Infrastructure for Context and Accountable AI Systems
9. [wandb/wandb](https://seerepo.com/r/wandb/wandb): Python · 11,316 stars · 1.1% signed by AI — The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
10. [polakowo/vectorbt](https://seerepo.com/r/polakowo/vectorbt): Python · 9,843 stars · 0.4% signed by AI — The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

## Frequently asked questions

### What is the most popular open source repo that uses nbformat?

apache/superset, with 75,495 stars on GitHub.

The proof: [apache/superset on GitHub](https://github.com/apache/superset)

### What other technologies is nbformat used with?

With ipywidgets (2), matplotlib (2), Plotly (2), gcsfs (1), and pickleshare (1), out of the 10 repos that use it.

### What languages are the repos that use nbformat written in?

Python (10).

### How many repos that use nbformat have commits signed by AI?

10 of the 10; the most, semantica-agi/semantica, with 10.1% of its commits.

The proof: [the commits each tool signed in semantica-agi/semantica](https://seerepo.com/r/semantica-agi/semantica/ai)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.